Waste treatment method and system based on degradable plastic cup production

Abstract

The invention provides a waste treatment method and system based on degradable plastic cup production, and the method comprises the following steps: firstly, carrying out preliminary cleaning on collected degradable waste, and then crushing the degradable waste into particles with preset sizes; after cleaning and drying, a pre-trained recoverable particle recognition model is adopted to intelligently recognize and classify waste particles, and the waste particles are classified into recoverable particles and unrecoverable particles. Carrying out regeneration treatment on the recoverable particles to generate recyclable regenerated raw material particles; and unrecyclable particles are subjected to degradation treatment. The method has the advantages that the intelligent recognition technology is introduced, and the classification accuracy and efficiency are improved. According to the method, the waste materials are classified, so that recycling of recoverable parts is realized to the greatest extent, environment-friendly degradation treatment of unrecoverable parts is ensured, and the negative influence on the environment is reduced while the resource utilization efficiency and the economic benefit are improved.

Description

Technical Field

[0001] The present application relates to the field of degradable materials, and in particular to a waste treatment method and system based on the production of degradable plastic cups. Background Art

[0002] In the production process of biodegradable plastic cups, biodegradable plastic waste is inevitably generated. These wastes mainly come from test samples, unqualified products, and scraps from trimming, punching and other processes during the production process. Due to the special chemical structure and performance requirements of biodegradable plastics, the process parameters need to be strictly controlled during the production process, which results in a lower pass rate than traditional plastic products, resulting in more waste.

[0003] At present, the treatment methods of degradable plastic waste mainly include landfill treatment, composting treatment and recycling. Landfill treatment is to directly bury the waste in the soil and use microorganisms in the natural environment to degrade it. This method is simple to operate and low in cost, but it occupies a lot of land resources, and the degradation process is slow, which may affect the soil and groundwater. Composting treatment is to add specific microbial strains and nutrients under artificial control conditions to accelerate the degradation process of waste. This method has a high degradation efficiency and the product can be used as organic fertilizer, but it requires professional processing equipment and sites, and the operating cost is high. Recycling and reuse is to re-granulate the waste after pre-treatment such as sorting, cleaning, and drying, and make it into recycled materials for use.

[0004] Recycling and reuse can achieve the circular use of resources and reduce environmental pollution, but since the properties of degradable plastics are easily changed during the processing, the quality of subsequent recycled and regenerated degradable plastics is difficult to guarantee. Summary of the invention

[0005] The present application provides a method for treating waste produced from biodegradable plastic cups, comprising the following steps:

[0006] A1, washing the pre-collected biodegradable waste;

[0007] A2, crushing the degradable waste into a predetermined recycling particle size to generate degradable waste particles;

[0008] A3, washing and drying the degradable waste particles;

[0009] A4, acquiring images of degradable waste particles and identifying and screening and classifying them through a pre-trained recyclable particle recognition model to obtain recyclable particles and non-recyclable particles;

[0010] A5, regenerating the recyclable particles to generate recycled raw material particles;

[0011] A6, degrade the non-recyclable particles.

[0012] By adopting the above-mentioned technical scheme, the waste treatment method based on the production of degradable plastic cups can realize the classification of waste through steps such as cleaning, crushing, classification and intelligent identification, and can maximize the recycling of renewable parts, while properly degrading the non-recyclable parts, thereby improving resource utilization efficiency, improving economic benefits and reducing environmental pollution.

[0013] Optionally, the step A4 includes the following steps:

[0014] A401, according to the preset single screening quantity, a corresponding number of waste particles are obtained from the degradable waste particles one by one and spread on a preset transparent screening panel;

[0015] A402, photographing the transparent screening panel through a preset screening camera module to obtain image data of the front side of the waste particles and image data of the back side of the waste particles;

[0016] A403, determining front identification frame positioning data and front recyclability confidence corresponding to each waste particle by using a recyclable particle identification model according to the front tiled image data of the waste particles;

[0017] A404, determining the back side identification frame positioning data and back side recyclability confidence corresponding to each waste particle by using the recyclable particle identification model according to the back side tiled image data of the waste particles;

[0018] A405, determining the front side recyclability confidence level and the back side recyclability confidence level corresponding to each waste particle according to the matching of the front side identification frame positioning data and the back side identification frame positioning data of each waste particle;

[0019] A406, determining the panel front positioning data corresponding to the waste particles according to the front identification frame positioning data corresponding to the waste particles and the panel size data of the screening panel;

[0020] A407, if the front recycling confidence level or the back recycling confidence level corresponding to the waste particle is less than a preset recycling confidence level threshold, the corresponding waste particle is defined as a non-recyclable particle;

[0021] A408, sucking and collecting the non-recyclable particles on the transparent screening panel through a preset particle suction module according to the panel front positioning data of the non-recyclable particles;

[0022] A409, after the particle suction module absorbs all the non-recyclable particles on the transparent screening panel, the remaining waste particles on the transparent screening panel are collected to generate recyclable particles.

[0023] By adopting the above-mentioned technical scheme, the waste treatment method based on the production of degradable plastic cups can realize the visual classification of waste particles by shooting and analyzing the front and back sides and combining the recognition model to identify the recyclable confidence. At the same time, through the coordinated use of transparent screening panels and particle suction modules, the efficiency and accuracy of the classification process are ensured, which not only improves the classification efficiency and reduces labor costs, but also significantly improves the accuracy of classification, providing a reliable guarantee for subsequent recycling and reuse.

[0024] Optionally, the waste treatment method based on the production of degradable plastic cups further comprises the following steps for training a recyclable particle recognition model:

[0025] B1, obtaining a single screening quantity of raw material particles multiple times and spreading them on the transparent screening panel;

[0026] B2, photographing the transparent screening panel through the screening camera module to obtain the front image data of the raw material particles and the back image data of the raw material particles;

[0027] B3, determining the front identification frame positioning data corresponding to each raw material particle using a pre-trained particle identification model according to the tiled front image data of the raw material particles;

[0028] B4, determining the back side identification frame positioning data corresponding to each raw material particle according to the tiled back side image data of the raw material particle using a particle identification model;

[0029] B5, acquiring corresponding raw material particle front image data according to the front identification frame positioning data corresponding to each raw material particle and the raw material particle tiled front image data;

[0030] B6, acquiring the corresponding raw material particle back side image data according to the back side identification frame positioning data corresponding to each raw material particle and the tiled back side image data of the raw material particle;

[0031] B7, generating a particle image training set according to all raw material particle front image data, raw material particle back image data and corresponding front and back label values ​​and preset recognition result label values;

[0032] B8, training a preset recognition model according to the particle image training set to generate a recyclable particle recognition model.

[0033] By adopting the above-mentioned technical scheme, the waste treatment method based on the production of degradable plastic cups can obtain a rich training data set by collecting the front and back image data of the raw material particles and combining the particle recognition model for positioning and image acquisition. This not only ensures the quality and integrity of the training data, but also sets the front and back mark values, so that the recyclable particle recognition model finally trained has higher recognition accuracy and practicality.

[0034] Optionally, the waste treatment method based on the production of degradable plastic cups further comprises the following steps:

[0035] C1, according to the statistics of the front identification frame positioning data of each waste particle, the corresponding number of waste particles screened in a single time is determined;

[0036] C2, according to the statistics of each non-recyclable particle, determine the total number of non-recyclable particles in a single screening;

[0037] C3, the total number of waste particles is determined by accumulating the number of waste particles in each screening;

[0038] C4, the total number of unrecoverable particles is determined by accumulating the total number of unrecoverable particles in each screening;

[0039] C5, calculate the total number of recyclable particles by taking the difference between the total number of waste particles and the total number of non-recyclable particles;

[0040] C6, calculating the corresponding waste particle recovery rate based on the total number of recyclable particles and the total number of waste particles;

[0041] C7, if the waste particle recovery rate is lower than the preset recovery rate threshold, a warning message is sent to the preset control background.

[0042] By adopting the above-mentioned technical scheme, the waste treatment method based on the production of degradable plastic cups can perform statistical analysis on the number of waste particles screened once and cumulatively, calculate the recovery rate and set up an early warning mechanism. It can not only timely understand the waste treatment efficiency and recycling status, but also timely discover and solve the problem of low recovery rate through warning information, thereby realizing intelligent supervision of the entire waste treatment process and providing reliable data support for production management decisions.

[0043] Optionally, the waste treatment method based on the production of degradable plastic cups further comprises the following steps:

[0044] D1, sampling the recycled raw material particles to obtain a single screening quantity of recycled raw material particles and spreading them on the transparent screening panel;

[0045] D2, photographing the transparent screening panel through the screening camera module to obtain the front image data of the regenerated particles and the back image data of the regenerated particles;

[0046] D3, identifying and determining the front recyclability confidence level and the back recyclability confidence level corresponding to each recycled raw material particle through a recyclable particle recognition model according to the front image data of the recycled particles and the back image data of the recycled particles;

[0047] D4, calculating the corresponding particle recyclability confidence level according to the average of the front recyclability confidence level and the back recyclability confidence level corresponding to each recycled raw material particle;

[0048] D5, calculate the sampling average recyclability confidence level based on the average recyclability confidence level of all recycled raw material particles;

[0049] D6, defines the sampling average recoverable confidence as the recovery quality of the recycled raw material particles.

[0050] By adopting the above-mentioned technical scheme, the waste treatment method based on the production of degradable plastic cups can sample and detect the recycled raw material particles, use double-sided image recognition technology and recyclable confidence calculation, and finally obtain the quantitative indicator of recycling quality. It can not only accurately evaluate the effect of the recycling process, but also provide a reliable data basis for production quality control, which is helpful to continuously improve the recycling process and ensure the quality stability of the recycled raw materials.

[0051] Optionally, the waste treatment method based on the production of degradable plastic cups further comprises the following steps:

[0052] E1, when screening and classifying degradable waste particles to obtain recyclable particles and non-recyclable particles, the corresponding screening hours are counted;

[0053] E2, calculating the corresponding waste particle recycling value according to the total number of recyclable particles, recycling quality and the preset raw material particle value using a preset recycling value algorithm;

[0054] E3, calculating the corresponding screening fee according to the screening hours and the preset screening hour fee;

[0055] E4, calculate the potential recycling yield corresponding to the degradable waste particles based on the recycling value of the waste particles and the screening cost;

[0056] E5: If the potential recovery rate is lower than the preset recovery rate threshold, a warning message is sent to the control background.

[0057] By adopting the above-mentioned technical scheme, the waste treatment method based on the production of degradable plastic cups can calculate the accurate potential recycling yield by comprehensively considering multiple factors such as screening working hours, recycling quality, raw material value, etc., and set up an early warning mechanism. It can not only monitor the economic benefits of waste treatment in real time, but also promptly discover and solve the problem of low yield, provide a reference basis for corporate management decisions, and ensure that waste treatment is both environmentally friendly and economically feasible.

[0058] Optionally, the waste treatment method based on the production of degradable plastic cups further comprises the following steps to determine the single screening quantity:

[0059] F1, setting the recovered particle size according to the particle size of the raw material particles;

[0060] F2, calculate the corresponding particle paving cross-sectional area according to the size of the recovered particles;

[0061] F3, calculate the corresponding panel area according to the panel size data;

[0062] F4, calculates the available tiling area by multiplying the preset tiling density and the panel area;

[0063] F5, calculate the corresponding number of tiling particles based on the quotient of the available tiling area and the particle tiling cross-sectional area and define it as the single screening quantity.

[0064] By adopting the above technical solution, the waste treatment method based on the production of degradable plastic cups can calculate the optimal single screening quantity by considering key parameters such as particle size, panel area and tiling density, which not only ensures the uniformity and operability of the screening process, but also maximizes the use of the screening panel space, improves screening efficiency, and improves the standardization of the entire waste treatment process.

[0065] The present application also provides a waste treatment system based on the production of degradable plastic cups, comprising:

[0066] Preprocessing module;

[0067] Filter modules;

[0068] Screening camera modules;

[0069] Identify the processing module;

[0070] Wherein, the pre-processing module, the screening module and the screening camera module are respectively data-connected to the identification processing module, and the pre-processing module and the screening module are connected in a material-transferable manner;

[0071] Wherein, the pretreatment module comprises a cleaning module, a crushing module and a drying module, the cleaning module and the crushing module are connected to each other in a material transfer manner, and the drying module is ventilatedly connected to the crushing module;

[0072] Wherein, the screening module comprises a transparent screening panel and a particle suction module, the transparent screening panel is arranged horizontally, and the particle suction module is movably arranged above the transparent screening panel;

[0073] Wherein, the screening camera module includes a front camera module and a back camera module, the front camera module faces the transparent screening panel and is arranged directly above the transparent screening panel, and the back camera module faces the transparent screening panel and is arranged directly below the transparent screening panel;

[0074] Among them, the waste treatment system based on the production of degradable plastic cups further includes a waste treatment strategy, including the following steps:

[0075] G1, cleaning the pre-collected degradable waste by the pre-treatment module;

[0076] G2, crushing the degradable waste into a preset recycling particle size by the pretreatment module to generate degradable waste particles;

[0077] G3, washing and drying the degradable waste particles by the pretreatment module;

[0078] G4, acquiring images of degradable waste particles through the screening module and the screening camera module, and identifying and screening and classifying the recyclable particles and non-recyclable particles through a pre-trained recyclable particle recognition model;

[0079] G5, regenerating the recyclable particles to generate recycled raw material particles;

[0080] G6, degrade non-recyclable particles.

[0081] By adopting the above technical scheme, the waste treatment system based on the production of degradable plastic cups can build an integrated automated processing platform, in which the various functional modules are closely connected and work together. Through the cleaning, crushing and drying assembly line processing of the pretreatment module, combined with the transparent panel and suction module of the screening module, and the image acquisition of the double-sided camera module, the automation and intelligence of the entire waste treatment process are realized, which not only improves the processing efficiency, but also ensures the accuracy of classification, providing reliable hardware support for industrial-scale applications.

[0082] In summary, the present application includes at least one of the following beneficial technical effects:

[0083] 1. Through the steps of cleaning, crushing, classification and intelligent identification, the waste can be classified, the renewable part can be recycled to the maximum extent, and the non-recyclable part can be properly degraded, which not only improves the efficiency of resource utilization, improves economic benefits but also reduces environmental pollution.

[0084] 2. Through shooting and analyzing both sides and combining with the recognition model to identify the confidence level of recyclability, the image classification of waste particles can be realized. At the same time, the coordinated use of transparent screening panels and particle suction modules ensures the efficiency and accuracy of the classification process, which not only improves the classification efficiency and reduces labor costs, but also significantly improves the accuracy of classification, providing reliable guarantee for subsequent recycling and reuse.

[0085] 3. By collecting the front and back image data of the raw material particles and combining them with the particle recognition model for positioning and image acquisition, a rich training data set can be obtained. This not only ensures the quality and integrity of the training data, but also sets the front and back mark values, so that the recyclable particle recognition model finally trained has higher recognition accuracy and practicality. BRIEF DESCRIPTION OF THE DRAWINGS

[0086] Figure 1 It is a schematic diagram of the principle of a waste treatment system based on the production of degradable plastic cups according to the present invention.

[0087] Figure 2 It is a schematic diagram of the process of a waste treatment method based on the production of degradable plastic cups according to the present invention. DETAILED DESCRIPTION

[0088] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0089] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0090] refer to Figure 1 and Figure 2 The present invention provides a waste treatment method based on the production of degradable plastic cups, which is used to treat the degradable scraps generated in the production process of degradable plastic cups, comprising the following steps:

[0091] A1, washing the pre-collected biodegradable waste;

[0092] Degradable waste is pre-collected degradable scraps from the production of degradable plastic cups. Plastic cups produced with degradable plastics usually produce a certain amount of scraps during the injection molding, compression molding and other molding processes. This part of the waste can be partially recycled and reused;

[0093] The collected biodegradable waste may be contaminated with dirt generated during the forming process and needs to be cleaned and removed.

[0094] A2, crushing the degradable waste into a predetermined recycling particle size to generate degradable waste particles;

[0095] The recycled particle size is the size of the pre-set particles, which is used to determine the degree of comminution of the degradable waste;

[0096] The degradable waste particles are particles generated after the degradable waste is crushed.

[0097] A3, washing and drying the degradable waste particles;

[0098] Washing and drying the degradable waste particles formed after pulverization can remove dust generated during the pulverization process and keep the surface of the degradable waste particles clean.

[0099] A4, acquiring images of degradable waste particles and identifying and screening and classifying them through a pre-trained recyclable particle recognition model to obtain recyclable particles and non-recyclable particles;

[0100] The recyclable particle recognition model is a pre-trained recognition model that recognizes recyclable particles and non-recyclable particles through the appearance images of degradable waste particles and classifies them;

[0101] Recyclable particles are degradable plastic particles that can be recycled and reused;

[0102] Non-recyclable particles are degradable plastic particles that do not meet recycling standards;

[0103] After the degradable plastic undergoes denaturation, there will be obvious changes in appearance, for example, color changes, the material will appear obvious yellowing or browning; the transparency will be reduced, the originally transparent or translucent degradable plastic will become turbid after denaturation and lose its original gloss; the surface state will change: surface defects such as roughness, wrinkles or cracks may appear, so the degradable waste particles that are not suitable for recycling and reuse due to denaturation can be identified through images.

[0104] A5, regenerating the recyclable particles to generate recycled raw material particles;

[0105] Recycled raw material particles are biodegradable plastic particles that can be used for regeneration after recyclable particles are recycled.

[0106] A6, degrading non-recyclable particles;

[0107] Non-recyclable biodegradable plastics can be degraded, for example, by composting, high-temperature decomposition and other methods.

[0108] Through the above steps, the waste treatment method based on the production of degradable plastic cups can achieve the classification of waste through steps such as cleaning, crushing, classification and intelligent identification, and can maximize the recycling of renewable parts. At the same time, the non-recyclable parts can be properly degraded, which not only improves the efficiency of resource utilization, improves economic benefits but also reduces environmental pollution.

[0109] Furthermore, the step A4 comprises the following steps:

[0110] A401, obtaining a corresponding number of waste particles from the degradable waste particles one by one according to a preset single screening number and spreading them on a preset transparent screening panel 21;

[0111] The single screening quantity is a preset quantity value, which is used to determine the quantity of degradable waste particles screened in a single time, and can be a volume quantity or a mass quantity;

[0112] The transparent screening panel 21 is a preset transparent panel used to lay out the waste particles so as to obtain image data of each waste particle from the front and back sides.

[0113] A402, photographing the transparent screening panel 21 through a preset screening camera module 30 to obtain image data of the front side of the waste particles and image data of the back side of the waste particles;

[0114] The waste particles flat front image data is the image data of all waste particles flat on the transparent screening panel 21 taken from the front of the transparent screening panel 21;

[0115] The waste particles tiled back side image data is the image data of all the waste particles photographed from the back side of the transparent screening panel 21 tiled on the transparent screening panel 21 .

[0116] A403, determining front identification frame positioning data and front recyclability confidence corresponding to each waste particle by using a recyclable particle identification model according to the front tiled image data of the waste particles;

[0117] The front identification frame positioning data is the positioning data of the identification frame of the waste particle in the waste particle front tiled image data in the image;

[0118] The front recyclability confidence is the recognition confidence of each waste particle as being recyclable according to the front tiled image data of the waste particle;

[0119] That is, it indicates the confidence level that each waste particle can be recycled, as judged from its front image.

[0120] A404, determining the back side identification frame positioning data and back side recyclability confidence corresponding to each waste particle by using the recyclable particle identification model according to the back side tiled image data of the waste particles;

[0121] The back side identification frame positioning data is the positioning data of the identification frame of the waste particle in the tiled image data of the back side of the waste particle in the image;

[0122] The back side recyclability confidence level is the recognition confidence level of whether each waste particle is recyclable according to the tiled image data of the back side of the waste particle;

[0123] That is, it indicates the confidence level that each waste particle can be recycled, as judged from the back image.

[0124] A405, determining the front side recyclability confidence level and the back side recyclability confidence level corresponding to each waste particle according to the matching of the front side identification frame positioning data and the back side identification frame positioning data of each waste particle;

[0125] According to the front identification frame positioning data and the back identification frame positioning data, the waste particles at the corresponding positions can be matched to determine whether they are the front and back of the same waste particle, and then determine the front recycling confidence and the back recycling confidence of the waste particle;

[0126] For example, the back identification frame positioning data may be mirrored so that it can overlap with the corresponding position of the corresponding front identification frame positioning data, and then it can be determined whether they are the front and back of the same waste particle based on the degree of overlap.

[0127] A406, determining the panel front positioning data corresponding to the waste particles according to the front identification frame positioning data corresponding to the waste particles and the panel size data of the screening panel 21;

[0128] The panel size data is the size data of the screening panel 21;

[0129] The panel front positioning data is the positioning data of the waste particles on the screening panel 21 .

[0130] A407, if the front recycling confidence level or the back recycling confidence level corresponding to the waste particle is less than a preset recycling confidence level threshold, the corresponding waste particle is defined as a non-recyclable particle;

[0131] The recycling confidence threshold is a pre-set reference value used to determine whether the confidence level corresponding to the waste particle reaches the level to be recognized as recyclable;

[0132] When the front side recyclability confidence or the back side recyclability confidence of a waste particle is less than the recycling confidence threshold, it means that the appearance of one side does not meet the recycling standards, so it is classified as a non-recyclable particle.

[0133] A408, according to the panel front positioning data of the non-recyclable particles, the non-recyclable particles are sucked and collected on the transparent screening panel 21 by a preset particle suction module 22;

[0134] The position of the non-recyclable particles on the transparent screening panel 21 can be determined based on the panel front positioning data, and the particle suction module 22 can be controlled to move to the corresponding position to suck the non-recyclable particles.

[0135] A409, after the particle suction module 22 sucks all the non-recyclable particles on the transparent screening panel 21, collect the remaining waste particles on the transparent screening panel 21 to generate recyclable particles;

[0136] After all the non-recyclable particles are sucked and collected, the remaining particles on the transparent screening panel 21 are recyclable particles, which can be collected uniformly to complete the classification of recyclable particles and non-recyclable particles.

[0137] Through the above steps, the waste treatment method based on the production of degradable plastic cups can realize the visual classification of waste particles by shooting and analyzing the front and back sides and combining the recognition model to identify the recyclable confidence. At the same time, through the coordinated use of the transparent screening panel and the particle suction module, the efficiency and accuracy of the classification process are ensured, which not only improves the classification efficiency and reduces labor costs, but also significantly improves the accuracy of classification, providing a reliable guarantee for subsequent recycling and reuse.

[0138] Furthermore, the waste treatment method based on the production of degradable plastic cups also includes the following steps for training a recyclable particle recognition model:

[0139] B1, obtaining a single screening quantity of raw material particles multiple times and spreading them on the transparent screening panel 21;

[0140] The raw material particles are the original raw material particles of the biodegradable plastic used for production.

[0141] B2, photographing the transparent screening panel 21 through the screening camera module 30 to obtain the front image data of the raw material particles and the back image data of the raw material particles;

[0142] The raw material particle laying front image data is a front-view image of the raw material particles laying on the transparent screening panel 21;

[0143] The raw material particle laying back image data is an image taken of the back side of the raw material particles laid on the transparent screening panel 21 .

[0144] B3, determining the front identification frame positioning data corresponding to each raw material particle using a pre-trained particle identification model according to the tiled front image data of the raw material particles;

[0145] The particle recognition model is a pre-selected and trained recognition model for particle recognition, which can identify and locate particles in an image;

[0146] The particle recognition model can be used to obtain the recognition frame positioning data of the raw material particles in the raw material particle tile front image data.

[0147] B4, determining the back side identification frame positioning data corresponding to each raw material particle according to the tiled back side image data of the raw material particle using a particle identification model;

[0148] The particle recognition model can be used to obtain the recognition frame positioning data of the raw material particles in the image data of the back side of the raw material particles.

[0149] B5, acquiring corresponding raw material particle front image data according to the front identification frame positioning data corresponding to each raw material particle and the raw material particle tiled front image data;

[0150] The raw material particle front image data is the front image of each raw material particle, and can be obtained by intercepting the raw material particle tiled front image data according to the front identification frame positioning data.

[0151] B6, acquiring the corresponding raw material particle back side image data according to the back side identification frame positioning data corresponding to each raw material particle and the tiled back side image data of the raw material particle;

[0152] The raw material particle back side image data is the back side image of each raw material particle, and can be obtained by intercepting the raw material particle tiled back side image data according to the back side identification frame positioning data.

[0153] B7, generating a particle image training set according to all raw material particle front image data, raw material particle back image data and corresponding front and back label values ​​and preset recognition result label values;

[0154] The front and back mark value is the status value of the front and back of the image, indicating whether the image comes from the front or back;

[0155] Although the transparent screening panel 21 is a transparent material panel, there is still a certain degree of difference in the camera imaging of the front and back sides, so it is necessary to add corresponding front and back side marking values ​​to the training sample data for feature distinction, for example, the front side is set to 1 and the back side is set to -1;

[0156] The recognition result label value is the pre-set label value. Since the object of the training sample image acquisition is raw material, the recognition result label value can be set to 1, or different label values ​​can be set according to the different grades of raw material particles to distinguish the quality;

[0157] The particle image training set is a dataset used to train the recognition model.

[0158] B8, training a preset recognition model according to the particle image training set to generate a recyclable particle recognition model;

[0159] After performing necessary operations such as feature extraction on the particle image training set, it can be used to train the corresponding machine learning model to produce a recycled particle recognition model.

[0160] Through the above steps, the waste treatment method based on the production of degradable plastic cups can obtain a rich training data set by collecting the front and back image data of the raw material particles and combining the particle recognition model for positioning and image acquisition. This not only ensures the quality and integrity of the training data, but also sets the front and back mark values, so that the recyclable particle recognition model finally trained has higher recognition accuracy and practicality.

[0161] Furthermore, the waste treatment method based on the production of degradable plastic cups also includes the following steps:

[0162] C1, according to the statistics of the front identification frame positioning data of each waste particle, the corresponding number of waste particles screened in a single time is determined;

[0163] The number of waste particles screened in a single time is the number of waste particles on the transparent screening panel 21 during a single screening;

[0164] The number of waste particles screened in a single pass can be determined by counting the number of positive identification boxes.

[0165] C2, according to the statistics of each non-recyclable particle, determine the total number of non-recyclable particles in a single screening;

[0166] The total number of unrecoverable particles in a single screening is the number of unrecoverable particles on the transparent screening panel 21 during a single screening.

[0167] C3, the total number of waste particles is determined by accumulating the number of waste particles in each screening;

[0168] The total number of waste particles is the sum of the number of waste particles screened in each screening, that is, the sum of all screened waste particles.

[0169] C4, the total number of unrecoverable particles is determined by accumulating the total number of unrecoverable particles in each screening;

[0170] The total number of non-recyclable particles is the sum of the total number of non-recyclable particles in each single screening, that is, the sum of all non-recyclable waste particles determined after screening.

[0171] C5, calculate the total number of recyclable particles by taking the difference between the total number of waste particles and the total number of non-recyclable particles;

[0172] The total number of recyclable particles is the total number of recyclable waste particles in the total number of waste particles.

[0173] C6, calculating the corresponding waste particle recovery rate based on the total number of recyclable particles and the total number of waste particles;

[0174] The waste particle recovery rate is the percentage of the total number of recyclable particles to the total number of waste particles.

[0175] C7, if the waste particle recovery rate is lower than the preset recovery rate threshold, a warning message is sent to the preset control background;

[0176] The recovery rate threshold is a pre-set reference value used to determine whether the waste particle recovery rate is too low;

[0177] The control background is a pre-set background used to monitor whether the recycling process is proceeding normally;

[0178] When the waste particle recovery rate is lower than the recovery rate threshold, it means that the recovery economy may not be high. The control background should be used to remind the staff to manually confirm whether there is any process abnormality or to stop screening and recovery to avoid losses.

[0179] Through the above steps, the waste treatment method based on the production of degradable plastic cups can perform statistical analysis on the number of waste particles screened once and cumulatively, calculate the recovery rate and set up an early warning mechanism. It can not only timely understand the waste treatment efficiency and recycling status, but also timely discover and solve the problem of low recovery rate through warning information, thereby realizing intelligent supervision of the entire waste treatment process and providing reliable data support for production management decisions.

[0180] Furthermore, the waste treatment method based on the production of degradable plastic cups also includes the following steps:

[0181] D1, sampling the recycled raw material particles to obtain a single screening quantity of recycled raw material particles and spreading them on the transparent screening panel 21;

[0182] A single screening amount of recycled raw material particles is spread out on the transparent screening panel 21 for quality inspection.

[0183] D2, photographing the transparent screening panel 21 through the screening camera module 30 to obtain the front image data of the regenerated particles and the back image data of the regenerated particles;

[0184] The regenerated particle tiling front image data is a front image of the regenerated raw material particles tiling on the transparent screening panel 21;

[0185] The regenerated particle tiled back side image data is a back side image of the regenerated raw material particles tiled on the transparent screening panel 21 .

[0186] D3, identifying and determining the front recyclability confidence level and the back recyclability confidence level corresponding to each recycled raw material particle through a recyclable particle recognition model according to the front image data of the recycled particles and the back image data of the recycled particles;

[0187] The front side recycling confidence level and the back side recycling confidence level are the recycling confidence levels corresponding to the front side image and the back side image of each recycled raw material particle.

[0188] D4, calculating the corresponding particle recyclability confidence level according to the average of the front recyclability confidence level and the back recyclability confidence level corresponding to each recycled raw material particle;

[0189] The particle recyclability confidence level is the average of the front and back recyclability confidence levels of the recycled raw material particles, which comprehensively reflects the recyclability confidence level of the recycled raw material particles.

[0190] D5, calculate the sampling average recyclability confidence level based on the average recyclability confidence level of all recycled raw material particles;

[0191] The sampling average recyclability confidence is the mean of the particle recyclability confidence of all recycled raw material particles, reflecting the overall recyclability confidence of the recycled raw material particles, that is, reflecting the overall degree of their closeness to the original raw material particles.

[0192] D6, define the sampling average recyclability confidence as the recycling quality of the recycled raw material particles;

[0193] The recycling quality is the average recyclability confidence of the sampling, which reflects the degree to which the quality of the recycled raw material particles is close to the original raw material particles.

[0194] Through the above steps, the waste treatment method based on the production of degradable plastic cups can sample and detect the recycled raw material particles, use double-sided image recognition technology and recyclable confidence calculation, and finally obtain the quantitative indicator of recycling quality. It can not only accurately evaluate the effect of recycling processing, but also provide a reliable data basis for production quality control, which is helpful to continuously improve the recycling process and ensure the quality stability of recycled raw materials.

[0195] Furthermore, the waste treatment method based on the production of degradable plastic cups also includes the following steps:

[0196] E1, when screening and classifying degradable waste particles to obtain recyclable particles and non-recyclable particles, the corresponding screening hours are counted;

[0197] Screening hours refer to the total working hours consumed in screening all degradable waste particles.

[0198] E2, calculating the corresponding waste particle recycling value according to the total number of recyclable particles, recycling quality and the preset raw material particle value using a preset recycling value algorithm;

[0199] The raw material pellet value is the objective market fair value of the original raw material pellets, which is used as the basis for estimating the recyclable pellets;

[0200] The recycling value algorithm is a pre-set algorithm used to estimate the economic value of recyclable particles. It can be set by staff based on experience and combined with the recycling quality to estimate the economic value of recyclable particles;

[0201] The scrap pellet recovery value is the estimated total economic value of all recyclable particles in the scrap pellets.

[0202] E3, calculating the corresponding screening fee according to the screening hours and the preset screening hour fee;

[0203] The screening fee is the fee generated by the screening module 20, the screening camera module 30 and related components and equipment when screening the degradable waste particles, and is used to reflect the cost of screening the degradable waste particles.

[0204] E4, calculate the potential recycling yield corresponding to the degradable waste particles based on the recycling value of the waste particles and the screening cost;

[0205] The potential recovery yield is the potential economic value of the recyclable particles in the degradable waste particles, for example, it can be calculated by subtracting the screening cost from the recovery value of the waste particles and then dividing it by the screening cost.

[0206] E5, if the potential recovery rate is lower than the preset recovery rate threshold, a warning message is sent to the control background;

[0207] The recovery yield threshold is a pre-set reference value used to determine whether the potential recovery yield is too low to generate economic benefits from screening and recovery. The recovery yield threshold can be set by the staff or determined based on the overall recovery process calculation;

[0208] If the potential recovery rate is too low, the staff will be notified through the control background to make a decision on whether to stop recovery to avoid unnecessary losses.

[0209] Through the above steps, the waste treatment method based on the production of degradable plastic cups can calculate the accurate potential recycling rate of return by comprehensively considering multiple factors such as screening working hours, recycling quality, raw material value, etc., and set up an early warning mechanism. It can not only monitor the economic benefits of waste treatment in real time, but also promptly discover and solve the problem of low rate of return, provide a reference for corporate management decisions, and ensure that waste treatment is both environmentally friendly and economically feasible.

[0210] Furthermore, the waste treatment method based on the production of degradable plastic cups also includes the following steps to determine the single screening quantity:

[0211] F1, setting the recovered particle size according to the particle size of the raw material particles;

[0212] Setting the recycled particle size based on the particle size data of the original raw material particles can facilitate the consistency of subsequent recyclable identification data and improve the accuracy of model training and identification.

[0213] F2, calculate the corresponding particle paving cross-sectional area according to the size of the recovered particles;

[0214] The particle flat cross-sectional area is the horizontal cross-sectional area of ​​the recycled particles when they are flat, and can be calculated based on the corresponding recycled particle size.

[0215] F3, calculate the corresponding panel area according to the panel size data;

[0216] The panel area is the surface area of ​​the transparent screening panel 21, which can be calculated using the panel size data.

[0217] F4, calculates the available tiling area by multiplying the preset tiling density and the panel area;

[0218] The paving density is a preset reference value used to determine the density of the degradable waste particles paved on the transparent screening panel 21. The paving density can be set according to demand and is generally less than 1;

[0219] The available tiling area is the area on the transparent screening panel 21 that can be used to lay the degradable waste particles;

[0220] Since it is necessary to obtain an image of each degradable waste particle to determine whether it is recyclable, each degradable waste should not overlap and block, and a certain gap space should be maintained between the degradable waste to improve the accuracy of model recognition;

[0221] For example, if the tiling density is set to 0.6 and the panel area is 1 square meter, the corresponding available tiling area is 0.6 square meters, and the remaining 0.4 square meters is the gap between each degradable waste particle.

[0222] F5, calculate the corresponding number of tilable particles according to the quotient of the available tiling area and the particle tiling cross-sectional area and define it as the single screening quantity;

[0223] The number of paving particles is the number of degradable waste particles that can be accommodated in the available paving area.

[0224] Through the above steps, the waste treatment method based on the production of degradable plastic cups can calculate the optimal single screening quantity by considering key parameters such as particle size, panel area and tiling density, which not only ensures the uniformity and operability of the screening process, but also maximizes the use of the screening panel space, improves screening efficiency, and improves the standardization of the entire waste treatment process.

[0225] The present application also provides a waste treatment system based on the production of degradable plastic cups, comprising:

[0226] Pre-processing module 10;

[0227] Screening module 20;

[0228] Screening camera module 30;

[0229] Identification processing module 40;

[0230] The pre-processing module 10, the screening module 20 and the screening camera module 30 are respectively data-connected to the identification processing module 40, and the pre-processing module 10 and the screening module 20 are connected in a material-transferable manner;

[0231] The pretreatment module 10 includes a cleaning module 11, a crushing module 12 and a drying module 13. The cleaning module 11 and the crushing module 12 are connected to each other in a material transfer manner, and the drying module 13 is ventilatedly connected to the crushing module 12.

[0232] The screening module 20 includes a transparent screening panel 21 and a particle suction module 22. The transparent screening panel 21 is horizontally arranged, and the particle suction module 22 is movably arranged above the transparent screening panel 21.

[0233] The screening camera module 30 includes a front camera module 31 and a rear camera module 32, wherein the front camera module 31 faces the transparent screening panel 21 and is arranged directly above the transparent screening panel 21, and the rear camera module 32 faces the transparent screening panel 21 and is arranged directly below the transparent screening panel 21;

[0234] The pre-processing module 10 is mainly used to perform pre-processing steps such as cleaning and crushing on the degradable waste to generate corresponding degradable waste particles;

[0235] The cleaning module 11 is mainly used to clean the degradable waste and degradable waste particles;

[0236] The crushing module 12 is mainly used to crush the degradable waste into a set size;

[0237] The drying module 13 is mainly used to ventilate and dry the degradable waste particles, and remove some dust impurities through ventilation and drying.

[0238] The screening module 20 is mainly used to screen the degradable waste particles in combination with the screening camera module 30 to classify the recyclable particles and the non-recyclable particles;

[0239] The transparent screening panel 21 is mainly used to lay out the degradable waste particles so as to obtain image data of the degradable waste particles;

[0240] The particle suction module 22 is mainly used to suck non-recyclable degradable particles.

[0241] The screening camera module 30 is mainly used to capture image data of degradable waste particles;

[0242] The front camera module 31 is mainly used to capture image data of degradable waste particles from directly above the transparent screening panel 21;

[0243] The rear camera module 32 is mainly used to capture image data of degradable waste particles from directly below the transparent screening panel 21 .

[0244] The identification and processing module 40 is mainly used for data processing and identification of image data of degradable waste particles, and controlling other modules.

[0245] Among them, the waste treatment system based on the production of degradable plastic cups further includes a waste treatment strategy, including the following steps:

[0246] G1, cleaning the pre-collected degradable waste by the pre-treatment module 10;

[0247] G2, crushing the degradable waste into a preset recycling particle size by the pre-treatment module 10 to generate degradable waste particles;

[0248] G3, cleaning and drying the degradable waste particles by the pretreatment module 10;

[0249] G4, acquiring images of the degradable waste particles through the screening module 20 and the screening camera module 30, and identifying and screening and classifying the recyclable particles and non-recyclable particles through the pre-trained recyclable particle recognition model;

[0250] G5, regenerating the recyclable particles to generate recycled raw material particles;

[0251] G6, degrade non-recyclable particles.

[0252] Through the above technical scheme, the waste treatment system based on the production of degradable plastic cups can be achieved by constructing an integrated automated processing platform, in which the various functional modules are closely connected and work together. Through the cleaning, crushing and drying assembly line processing of the pretreatment module, combined with the transparent panel and suction module of the screening module, and the image acquisition of the double-sided camera module, the automation and intelligence of the entire waste treatment process are realized, which not only improves the processing efficiency, but also ensures the accuracy of classification, providing reliable hardware support for industrial-scale applications.

[0253] The above are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Any feature disclosed in this specification (including the abstract and drawings), unless otherwise stated, can be replaced by other equivalent or alternative features with similar purposes. That is, unless otherwise stated, each feature is only an example of a series of equivalent or similar features.

Claims

1. A method for treating waste from the production of degradable plastic cups, characterized in that: The following steps are involved: A1, washing the pre-collected biodegradable waste; A2, crushing the degradable waste into a predetermined recycling particle size to generate degradable waste particles; A3, washing and drying the degradable waste particles; A4, acquiring images of degradable waste particles and identifying and screening and classifying them through a pre-trained recyclable particle recognition model to obtain recyclable particles and non-recyclable particles; A5, regenerating the recyclable particles to generate recycled raw material particles; A6, degrade the non-recyclable particles.

2. The method for treating waste from the production of degradable plastic cups according to claim 1, characterized in that: The step A4 comprises the following steps: A401, according to the preset single screening quantity, a corresponding number of waste particles are obtained from the degradable waste particles one by one and spread on a preset transparent screening panel; A402, photographing the transparent screening panel through a preset screening camera module to obtain image data of the front side of the waste particles and image data of the back side of the waste particles; A403, determining front identification frame positioning data and front recyclability confidence corresponding to each waste particle by using a recyclable particle identification model according to the front tiled image data of the waste particles; A404, determining the back side identification frame positioning data and back side recyclability confidence corresponding to each waste particle by using the recyclable particle identification model according to the back side tiled image data of the waste particles; A405, determining the front side recyclability confidence level and the back side recyclability confidence level corresponding to each waste particle according to the matching of the front side identification frame positioning data and the back side identification frame positioning data of each waste particle; A406, determining the panel front positioning data corresponding to the waste particles according to the front identification frame positioning data corresponding to the waste particles and the panel size data of the screening panel; A407, if the front recycling confidence level or the back recycling confidence level corresponding to the waste particle is less than a preset recycling confidence level threshold, the corresponding waste particle is defined as a non-recyclable particle; A408, sucking and collecting the non-recyclable particles on the transparent screening panel through a preset particle suction module according to the panel front positioning data of the non-recyclable particles; A409, after the particle suction module absorbs all the non-recyclable particles on the transparent screening panel, the remaining waste particles on the transparent screening panel are collected to generate recyclable particles.

3. The method for treating waste from the production of degradable plastic cups according to claim 2, characterized in that: The following steps are included to train the recyclable particle recognition model: B1, obtaining a single screening quantity of raw material particles multiple times and spreading them on the transparent screening panel; B2, photographing the transparent screening panel through the screening camera module to obtain the front image data of the raw material particles and the back image data of the raw material particles; B3, determining the front identification frame positioning data corresponding to each raw material particle using a pre-trained particle identification model according to the tiled front image data of the raw material particles; B4, determining the back side identification frame positioning data corresponding to each raw material particle according to the tiled back side image data of the raw material particle using a particle identification model; B5, acquiring corresponding raw material particle front image data according to the front identification frame positioning data corresponding to each raw material particle and the raw material particle tiled front image data; B6, acquiring the corresponding raw material particle back side image data according to the back side identification frame positioning data corresponding to each raw material particle and the tiled back side image data of the raw material particle; B7, generating a particle image training set according to all raw material particle front image data, raw material particle back image data and corresponding front and back label values ​​and preset recognition result label values; B8, training a preset recognition model according to the particle image training set to generate a recyclable particle recognition model.

4. The method for treating waste from the production of degradable plastic cups according to claim 3, characterized in that: Further comprising the steps of: C1, according to the statistics of the front identification frame positioning data of each waste particle, the corresponding number of waste particles screened in a single time is determined; C2, according to the statistics of each non-recyclable particle, determine the total number of non-recyclable particles in a single screening; C3, the total number of waste particles is determined by accumulating the number of waste particles in each screening; C4, the total number of unrecoverable particles is determined by accumulating the total number of unrecoverable particles in each screening; C5, calculate the total number of recyclable particles by taking the difference between the total number of waste particles and the total number of non-recyclable particles; C6, calculating the corresponding waste particle recovery rate based on the total number of recyclable particles and the total number of waste particles; C7, if the waste particle recovery rate is lower than the preset recovery rate threshold, a warning message is sent to the preset control background.

5. The method for treating waste from the production of degradable plastic cups according to claim 3, characterized in that: Further comprising the steps of: D1, sampling the recycled raw material particles to obtain a single screening quantity of recycled raw material particles and spreading them on the transparent screening panel; D2, photographing the transparent screening panel through the screening camera module to obtain the front image data of the regenerated particles and the back image data of the regenerated particles; D3, identifying and determining the front recyclability confidence level and the back recyclability confidence level corresponding to each recycled raw material particle through a recyclable particle recognition model according to the front image data of the recycled particles and the back image data of the recycled particles; D4, calculating the corresponding particle recyclability confidence level according to the average of the front recyclability confidence level and the back recyclability confidence level corresponding to each recycled raw material particle; D5, calculate the sampling average recyclability confidence level based on the average recyclability confidence level of all recycled raw material particles; D6, defines the sampling average recoverable confidence as the recovery quality of the recycled raw material particles.

6. The method for treating waste from the production of degradable plastic cups according to claim 5, characterized in that: Further comprising the steps of: E1, when screening and classifying degradable waste particles to obtain recyclable particles and non-recyclable particles, the corresponding screening hours are counted; E2, calculating the corresponding waste particle recycling value according to the total number of recyclable particles, recycling quality and the preset raw material particle value using a preset recycling value algorithm; E3, calculating the corresponding screening fee according to the screening hours and the preset screening hour fee; E4, calculate the potential recycling yield corresponding to the degradable waste particles based on the recycling value of the waste particles and the screening cost; E5: If the potential recovery rate is lower than the preset recovery rate threshold, a warning message is sent to the control background.

7. The method for treating waste from the production of degradable plastic cups according to claim 6, characterized in that: The method further comprises the following steps to determine the number of single screenings: F1, setting the recovered particle size according to the particle size of the raw material particles; F2, calculate the corresponding particle paving cross-sectional area according to the size of the recovered particles; F3, calculate the corresponding panel area according to the panel size data; F4, calculates the available tiling area by multiplying the preset tiling density and the panel area; F5, calculate the corresponding number of tiling particles based on the quotient of the available tiling area and the particle tiling cross-sectional area and define it as the single screening quantity.

8. A waste treatment system based on the production of degradable plastic cups, characterized in that: include: Preprocessing module; Filter modules; Screening camera modules; Identify the processing module; Wherein, the pre-processing module, the screening module and the screening camera module are respectively data-connected to the identification processing module, and the pre-processing module and the screening module are connected in a material-transferable manner; Wherein, the pretreatment module comprises a cleaning module, a crushing module and a drying module, the cleaning module and the crushing module are connected to each other in a material transfer manner, and the drying module is ventilatedly connected to the crushing module; Wherein, the screening module comprises a transparent screening panel and a particle suction module, the transparent screening panel is arranged horizontally, and the particle suction module is movably arranged above the transparent screening panel; Wherein, the screening camera module includes a front camera module and a back camera module, the front camera module faces the transparent screening panel and is arranged directly above the transparent screening panel, and the back camera module faces the transparent screening panel and is arranged directly below the transparent screening panel; Among them, the waste treatment system based on the production of degradable plastic cups further includes a waste treatment strategy, including the following steps: G1, cleaning the pre-collected degradable waste by the pre-treatment module; G2, crushing the degradable waste into a preset recycling particle size by the pretreatment module to generate degradable waste particles; G3, washing and drying the degradable waste particles by the pretreatment module; G4, acquiring images of degradable waste particles through the screening module and the screening camera module, and identifying and screening and classifying the recyclable particles and non-recyclable particles through a pre-trained recyclable particle recognition model; G5, regenerating the recyclable particles to generate recycled raw material particles; G6, degrade non-recyclable particles.

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